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  <font size="+3">&#8592;</font> <a href="https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/master/docs/HTML/DataFrame.html">Back to Documentations</a><BR><BR>
  
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        <th>Signature</th> <th>Description</th> <th>Parameters</th>
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        <PRE><B>#include &lt;DataFrame/DataFrameMLVisitors.h&gt;

template&lt;typename T, typename I = unsigned long,
         std::size_t A = 0&gt;
struct AffinityPropVisitor;
        </B></PRE></font>
      </td>
      <td>
        This is a "single action visitor", meaning it is passed the whole data vector in one call and you must use the single_act_visit() interface.<BR><BR>
        This functor class finds clusters in data, without a need to specify the number of clusters, using Affinity Propagation algorithm.<BR><BR>
        <B>NOTE</B>: This is a resource consuming and relatively slow algorithm. Its time complexity is O(I * n<sup>2</sup>) where I is number of iterations. Its space complexity is O(2 * n<sup>2</sup>). Also look at <I> KMeansVisitor</I>.<BR><BR>

        The constructor takes 4 parameters<BR>
        1. Number of iterations<BR>
        2. Boolean flag to whether populate the actual clusters values and indices<BR>
        3. A function to calculate distance between two data points of type T with a default implementation<BR>
        4. Damping factor used in the algorithm. The default is 0.9. (1 – damping factor) prevents numerical oscillations.<BR>
        <I>
        <PRE>
    explicit
    AffinityPropVisitor(std::size_t num_of_iter,
                        bool calc_clusters = true,
                        distance_func f =
                            [](const T &x, const T &y) -> double {
                                return ((x - y) * (x - y));
                            },
                        double damping_factor = 0.9);
        </PRE>
        </I><BR>
        <I>get_result()</I> returns a VectorPtrView of type T containing the centers of clusters.<BR>
        <I>get_clusters()</I> returns an vector of VectorPtrView's which contains the data clustered around the centers.<BR>
        <I>get_clusters_idxs()</I> returns an vector of std::vector&lt;std::size_t&gt;'s which contains the indices of data clustered around the centers.<BR>
      </td>
      <td width="30%">
        <B>T</B>: Column data type<BR>
        <B>I</B>: Index type<BR>
        <B>A</B>: Memory alignment boundary for vectors. Default is system default alignment<BR>
      </td>
    </tr>

  </table>

<pre class="code_syntax" style="color:#000000;background:#ffffff00;"><span class="line_wrapper"><span style="color:#800000; font-weight:bold; ">static</span> <span style="color:#800000; font-weight:bold; ">void</span> test_affinity_propagation<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span>  <span style="color:#800080; ">{</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span><span style="color:#603000; ">cout</span> <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> <span style="color:#800000; ">"</span><span style="color:#0f69ff; ">\n</span><span style="color:#0000e6; ">Testing affinity propagation visitor ...</span><span style="color:#800000; ">"</span> <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span><span style="color:#603000; ">endl</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    <span style="color:#800000; font-weight:bold; ">const</span> <span style="color:#603000; ">size_t</span>           item_cnt <span style="color:#808030; ">=</span> <span style="color:#008c00; ">50</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    MyDataFrame            df<span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    RandGenParams<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#800080; ">&gt;</span>  p<span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    StlVecType<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#800080; ">&gt;</span>     final_col<span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    StlVecType<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#800080; ">&gt;</span>     col_data<span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>seed <span style="color:#808030; ">=</span> <span style="color:#008c00; ">10</span><span style="color:#006600; ">U</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>min_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">0</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>max_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">10</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    col_data <span style="color:#808030; ">=</span> gen_uniform_real_dist<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">128</span><span style="color:#800080; ">&gt;</span><span style="color:#808030; ">(</span>item_cnt<span style="color:#808030; ">,</span> p<span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    final_col<span style="color:#808030; ">.</span>insert<span style="color:#808030; ">(</span>final_col<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>begin<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>min_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">20</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>max_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">30</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    col_data <span style="color:#808030; ">=</span> gen_uniform_real_dist<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">128</span><span style="color:#800080; ">&gt;</span><span style="color:#808030; ">(</span>item_cnt<span style="color:#808030; ">,</span> p<span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    final_col<span style="color:#808030; ">.</span>insert<span style="color:#808030; ">(</span>final_col<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>begin<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>min_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">40</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>max_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">50</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    col_data <span style="color:#808030; ">=</span> gen_uniform_real_dist<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">128</span><span style="color:#800080; ">&gt;</span><span style="color:#808030; ">(</span>item_cnt<span style="color:#808030; ">,</span> p<span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    final_col<span style="color:#808030; ">.</span>insert<span style="color:#808030; ">(</span>final_col<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>begin<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>min_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">60</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>max_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">70</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    col_data <span style="color:#808030; ">=</span> gen_uniform_real_dist<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">128</span><span style="color:#800080; ">&gt;</span><span style="color:#808030; ">(</span>item_cnt<span style="color:#808030; ">,</span> p<span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    final_col<span style="color:#808030; ">.</span>insert<span style="color:#808030; ">(</span>final_col<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>begin<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>min_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">80</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    p<span style="color:#808030; ">.</span>max_value <span style="color:#808030; ">=</span> <span style="color:#008c00; ">90</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    col_data <span style="color:#808030; ">=</span> gen_uniform_real_dist<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">128</span><span style="color:#800080; ">&gt;</span><span style="color:#808030; ">(</span>item_cnt<span style="color:#808030; ">,</span> p<span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    final_col<span style="color:#808030; ">.</span>insert<span style="color:#808030; ">(</span>final_col<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>begin<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> col_data<span style="color:#808030; ">.</span>end<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    df<span style="color:#808030; ">.</span>load_data<span style="color:#808030; ">(</span>MyDataFrame<span style="color:#800080; ">::</span>gen_sequence_index<span style="color:#808030; ">(</span><span style="color:#008c00; ">0</span><span style="color:#808030; ">,</span> item_cnt <span style="color:#808030; ">*</span> <span style="color:#008c00; ">5</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">1</span><span style="color:#808030; ">)</span><span style="color:#808030; ">,</span> <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span>make_pair<span style="color:#808030; ">(</span><span style="color:#800000; ">"</span><span style="color:#0000e6; ">col1</span><span style="color:#800000; ">"</span><span style="color:#808030; ">,</span> final_col<span style="color:#808030; ">)</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    df<span style="color:#808030; ">.</span>shuffle<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#800080; ">&gt;</span><span style="color:#808030; ">(</span><span style="color:#800080; ">{</span><span style="color:#800000; ">"</span><span style="color:#0000e6; ">col1</span><span style="color:#800000; ">"</span><span style="color:#800080; ">}</span><span style="color:#808030; ">,</span> <span style="color:#800000; font-weight:bold; ">false</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">10</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    KMeansVisitor<span style="color:#800080; ">&lt;</span><span style="color:#008c00; ">5</span><span style="color:#808030; ">,</span> <span style="color:#800000; font-weight:bold; ">double</span><span style="color:#808030; ">,</span> <span style="color:#800000; font-weight:bold; ">unsigned</span> <span style="color:#800000; font-weight:bold; ">long</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">128</span><span style="color:#800080; ">&gt;</span>  km_visitor<span style="color:#808030; ">(</span><span style="color:#008c00; ">1000</span><span style="color:#808030; ">,</span> <span style="color:#800000; font-weight:bold; ">true</span><span style="color:#808030; ">,</span></span>
<span class="line_wrapper">                                                             <span style="color:#808030; ">[</span><span style="color:#808030; ">]</span><span style="color:#808030; ">(</span><span style="color:#800000; font-weight:bold; ">const</span> <span style="color:#800000; font-weight:bold; ">double</span> <span style="color:#808030; ">&amp;</span>x<span style="color:#808030; ">,</span> <span style="color:#800000; font-weight:bold; ">const</span> <span style="color:#800000; font-weight:bold; ">double</span> <span style="color:#808030; ">&amp;</span>y<span style="color:#808030; ">)</span>  <span style="color:#800080; ">{</span></span>
<span class="line_wrapper">                                                                 <span style="color:#800000; font-weight:bold; ">return</span> <span style="color:#808030; ">(</span><span style="color:#808030; ">(</span>x <span style="color:#808030; ">-</span> y<span style="color:#808030; ">)</span> <span style="color:#808030; ">*</span> <span style="color:#808030; ">(</span>x <span style="color:#808030; ">-</span> y<span style="color:#808030; ">)</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">                                                             <span style="color:#800080; ">}</span><span style="color:#808030; ">,</span></span>
<span class="line_wrapper">                                                             <span style="color:#008c00; ">10</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    AffinityPropVisitor<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#808030; ">,</span> <span style="color:#800000; font-weight:bold; ">unsigned</span> <span style="color:#800000; font-weight:bold; ">long</span><span style="color:#808030; ">,</span> <span style="color:#008c00; ">128</span><span style="color:#800080; ">&gt;</span> ap_visitor<span style="color:#808030; ">(</span><span style="color:#008c00; ">50</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    df<span style="color:#808030; ">.</span>single_act_visit<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#800080; ">&gt;</span><span style="color:#808030; ">(</span><span style="color:#800000; ">"</span><span style="color:#0000e6; ">col1</span><span style="color:#800000; ">"</span><span style="color:#808030; ">,</span> km_visitor<span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    df<span style="color:#808030; ">.</span>single_act_visit<span style="color:#800080; ">&lt;</span><span style="color:#800000; font-weight:bold; ">double</span><span style="color:#800080; ">&gt;</span><span style="color:#808030; ">(</span><span style="color:#800000; ">"</span><span style="color:#0000e6; ">col1</span><span style="color:#800000; ">"</span><span style="color:#808030; ">,</span> ap_visitor<span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    <span style="color:#696969; ">// Using the calculated means, separate the given column into clusters</span></span>
<span class="line_wrapper">    <span style="color:#800000; font-weight:bold; ">const</span> <span style="color:#800000; font-weight:bold; ">auto</span>  k_means <span style="color:#808030; ">=</span> km_visitor<span style="color:#808030; ">.</span>get_result<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    <span style="color:#800000; font-weight:bold; ">const</span> <span style="color:#800000; font-weight:bold; ">auto</span>  results <span style="color:#808030; ">=</span> ap_visitor<span style="color:#808030; ">.</span>get_clusters<span style="color:#808030; ">(</span><span style="color:#808030; ">)</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper"></span>
<span class="line_wrapper">    <span style="color:#800000; font-weight:bold; ">for</span> <span style="color:#808030; ">(</span><span style="color:#800000; font-weight:bold; ">auto</span> iter <span style="color:#800080; ">:</span> k_means<span style="color:#808030; ">)</span>  <span style="color:#800080; ">{</span></span>
<span class="line_wrapper">        <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span><span style="color:#603000; ">cout</span> <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> iter <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> <span style="color:#800000; ">"</span><span style="color:#0000e6; ">, </span><span style="color:#800000; ">"</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    <span style="color:#800080; ">}</span></span>
<span class="line_wrapper">    <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span><span style="color:#603000; ">cout</span> <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> <span style="color:#800000; ">"</span><span style="color:#0f69ff; ">\n</span><span style="color:#0f69ff; ">\n</span><span style="color:#800000; ">"</span> <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span><span style="color:#603000; ">endl</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    <span style="color:#800000; font-weight:bold; ">for</span> <span style="color:#808030; ">(</span><span style="color:#800000; font-weight:bold; ">auto</span> iter <span style="color:#800080; ">:</span> results<span style="color:#808030; ">)</span>  <span style="color:#800080; ">{</span></span>
<span class="line_wrapper">        <span style="color:#800000; font-weight:bold; ">for</span> <span style="color:#808030; ">(</span><span style="color:#800000; font-weight:bold; ">auto</span> iter2 <span style="color:#800080; ">:</span> iter<span style="color:#808030; ">)</span>  <span style="color:#800080; ">{</span></span>
<span class="line_wrapper">            <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span><span style="color:#603000; ">cout</span> <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> iter2 <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> <span style="color:#800000; ">"</span><span style="color:#0000e6; ">, </span><span style="color:#800000; ">"</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">        <span style="color:#800080; ">}</span></span>
<span class="line_wrapper">        <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span><span style="color:#603000; ">cout</span> <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> <span style="color:#800000; ">"</span><span style="color:#0f69ff; ">\n</span><span style="color:#800000; ">"</span> <span style="color:#808030; ">&lt;</span><span style="color:#808030; ">&lt;</span> <span style="color:#666616; ">std</span><span style="color:#800080; ">::</span><span style="color:#603000; ">endl</span><span style="color:#800080; ">;</span></span>
<span class="line_wrapper">    <span style="color:#800080; ">}</span></span>
<span class="line_wrapper"><span style="color:#800080; ">}</span></span>
<span class="line_wrapper"></span></pre>

  <BR><img src="https://github.com/hosseinmoein/DataFrame/blob/master/docs/LionLookingUp.jpg?raw=true" alt="C++ DataFrame"
       width="200" height="200" style="float:right"/>

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